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1 Ergebnisse
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Application of an exploratory knowledge-discovery pipeline ..:
Pinto, Bernardo Bollen
;
Ripoll, Vicent Ribas
;
Subías-Beltrán, Paula
...
uri/info:doi/10.3390/jcm10194354. , 2021
Link:
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac...
RT Journal T1
Application of an exploratory knowledge-discovery pipeline based on machine learning to multi-scale omics data to characterise myocardial injury in a cohort of patients with septic shock: An observational study
UL https://suche.suub.uni-bremen.de/peid=base-ftunivbruxelles:oai:dipot.ulb.ac.be:2013_333625&Exemplar=1&LAN=DE A1 Pinto, Bernardo Bollen A1 Ripoll, Vicent Ribas A1 Subías-Beltrán, Paula A1 Herpain, Antoine A1 Barlassina, Cristina A1 Oliveira, Eliandre A1 Pastorelli, Roberta A1 Braga, Daniele A1 Barcella, Matteo A1 Subirats, Laia A1 Bauzá-Martinez, J A1 Odena, María Antonia A1 Ferrario, Manuela A1 Baselli, Giuseppe A1 Aletti, Federico A1 Bendjelid, Karim YR 2021 K1 Généralités K1 Feature selection K1 Myocardial injury K1 Septic cardiomyopathy K1 Septic shock machine learning JF uri/info:doi/10.3390/jcm10194354 LK http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/333625 DO http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/333625 SF ELIB - SuUB Bremen
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